Electrode location in a microelectrode recording-based model of the subthalamic nucleus can predict motor improvement after deep brain stimulation for Parkinson’s disease
Autor: | Lo J. Bour, Vincent J. J. Odekerken, Pepijn van den Munckhof, P. Richard Schuurman, Rens Verhagen, Rob M.A. de Bie |
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Přispěvatelé: | Graduate School, Amsterdam Neuroscience - Neurodegeneration, Neurology, Neurosurgery, APH - Aging & Later Life |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Levodopa
Deep brain stimulation Parkinson's disease medicine.medical_treatment Article lcsh:RC321-571 03 medical and health sciences Microelectrode recording 0302 clinical medicine medicine lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry 030304 developmental biology 0303 health sciences subthalamic nucleus business.industry General Neuroscience Neurophysiology medicine.disease deep brain stimulation nervous system diseases Subthalamic nucleus surgical procedures operative Electrode location nervous system Parkinson’s disease business therapeutics 030217 neurology & neurosurgery medicine.drug Biomedical engineering |
Zdroj: | Brain Sciences Volume 9 Issue 3 Brain Sciences, Vol 9, Iss 3, p 51 (2019) Brain Sciences, 9(3):51. Multidisciplinary Digital Publishing Institute |
Popis: | Motor improvement after deep brain stimulation (DBS) in the subthalamic nucleus (STN) may vary substantially between Parkinson&rsquo s disease (PD) patients. Research into the relation between improvement and active contact location requires a correction for anatomical variation. We studied the relation between active contact location relative to the neurophysiological STN, estimated by the intraoperative microelectrode recordings (MER-based STN), and contralateral motor improvement after one year. A generic STN shape was transformed to fit onto the stereotactically defined MER sites. The location of 43 electrodes (26 patients), derived from MRI-fused CT images, was expressed relative to this patient-specific MER-based STN. Using regression analyses, the relation between contact location and motor improvement was studied. The regression model that predicts motor improvement based on levodopa effect alone was significantly improved by adding the one-year active contact coordinates (R2 change = 0.176, p = 0.014). In the combined prediction model (adjusted R2 = 0.389, p < 0.001), the largest contribution was made by the mediolateral location of the active contact (standardized beta = 0.490, p = 0.002). With the MER-based STN as a reference, we were able to find a significant relation between active contact location and motor improvement. MER-based STN modeling can be used to complement imaging-based STN models in the application of DBS. |
Databáze: | OpenAIRE |
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